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Artificial Life Models in Hardware

Artificial Life Models in Hardware Paperback - 2010

by Andrew Adamatzky

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Details

  • Title Artificial Life Models in Hardware
  • Author Andrew Adamatzky
  • Binding Paperback
  • Edition Softcover reprin
  • Condition New
  • Pages 268
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Date 2010-10-13
  • Bookseller's Inventory # ria9781849968485_pod
  • ISBN 9781849968485 / 1849968489
  • Weight 0.9 lbs (0.41 kg)
  • Dimensions 9.21 x 6.14 x 0.6 in (23.39 x 15.60 x 1.52 cm)
  • Dewey Decimal Code 006.3

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From the publisher

The History and Future of Stiquito: A Hexapod Insectoid Robot.- Learning Legged Locomotion.- Salamandra Robotica: A Biologically Inspired Amphibious Robot that Swims and Walks.- Multilocomotion Robot: Novel Concept, Mechanism, and Control of Bio-inspired Robot.- Self-regulatory Hardware: Evolutionary Design for Mechanical Passivity on a Pseudo Passive Dynamic Walker.- Perception for Action in Roving Robots: A Dynamical System Approach.- Nature-inspired Single-electron Computers.- Tribolon: Water-Based Self-Assembly Robots.- Artificial Symbiosis in EcoBots.- The Phi-Bot: A Robot Controlled by a Slime Mould.- Reaction-Diffusion Controllers for Robots.

From the rear cover

Hopping, climbing and swimming robots, nano-size neural networks, motorless walkers, slime mould and chemical brains --- this book offers unique designs and prototypes of life-like creatures in conventional hardware and hybrid bio-silicon systems. Ideas and implementations of living phenomena in non-living substrates cast a colourful picture of state-of-the-art advances in hardware models of artificial life.

Focusing on topics and areas based on non-traditional thinking, and new and emerging paradigms in bio-inspired robotics, this book has a unifying theme: the design and real-world implementation of artificial life robotic devices.

Students and researchers will find this coverage of topics such as robotic energy autonomy, multi-locomotion of robots, biologically inspired autonomous robots, evolution in colonies of robotic insects, neuromorphic analog devices, self-configurable robots, and chemical and biological controllers for robots, will considerably enhance their understanding of the issues involved in the development of not-traditional hardware systems at the cusp of artificial life and robotics.